Search AI Jobs
16,537 published AI roles — filter by keyword, skill, seniority or contract type.
16,537 results
Updated
GTM Strategy Manager
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Reporting to the GTM Planning Lead, the Central Planning Manager is responsible for translating GTM strategy into headcount capacity plans, quotas, and pipeline-generation targets that drive the right outcomes across direct and partner motions. You will be the hands-on owner of the planning models and a trusted partner to GTM and Finance leadership, balancing competitiveness, simplicity, scalability, and financial discipline. You will lead headcount capacity planning and overall target design (booking, consumption, pipegen), and partner with finance, field ops and GTM leadership to align headcount, top level targets and compute supply.Your work will directly influence revenue predictability, seller behavior, retention, and long-term growth. This is not a pure admin seat and not a blank-slate build. You inherit working capacity and target models and extend them as Fireworks scales. Consumption and hybrid commit + usage economics are core to how we sell and how our business grows. The right candidate has intimate knowledge of business models that rely on a usage-based or hybrid commercial model — not only license ARR — and can design capacity plans that meet our strategic objectives. Responsibilities GTM Planning, Capacity & Quotas - Drive the annual Go-To-Market planning process for the COO organization under the GTM Planning Lead. - Owning GTM capacity planning and target-setting, translating growth targets into coverage, headcount, and productivity plans across Sales, Field Engineering and CS. - Applying and refining target-setting methodologies, ensuring targets are grounded in market opportunity, historical performance, and productivity expectations. - Partnering with Finance, Field Ops, and GTM leadership to build and maintain models of capacity needs, ramp assumptions, productivity, and hiring requirements for annual and long-range planning, including scenario models that show the tradeoffs between headcount, pipeline, compute supply, productivity, and revenue before decisions are made, and present scenarios to the GTM Planning Lead. - Maintaining planning frameworks and analytics to monitor capacity, quota attainment, and productivity and inform in-year adjustments. - Own pipeline-generation (pipegen) targets by segment and team, and track pipeline coverage against them. - Partner with the GPU management team so headcount, pipeline, and consumption assumptions feed the GPU demand forecast. Systems, Forecasting & Automation - Build and own a native end-to-end process and tooling for automation of business plan modeling. - Partner with Data Engineering and GTM Engineering on source-of-truth data (CRM, billing/usage, roster/quotas) so calculations are reproducible and auditable. Qualifications - 6+ years in GTM planning, quota setting, and/or productivity-related revenue operations workstreams - Strong understanding of go-to-market design and sales planning, including how capacity, quota, and pipeline targets fit together - Significant experience presenting analysis to senior leaders and closely partnering with leaders at the Director and VP level - Advanced analytical and financial modeling skills with a superb ability to drive high value insights - Hands-on experience building headcount, ramp, and quota capacity models for a consumption-based or hybrid commit-plus-usage business - SQL and BI fluency, and experience with a planning or forecasting platform (for example Anaplan, Clari or Xactly) - BA/BS degree in engineering, accounting, finance, economics or other quantitative fields preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Familiarity with manager overrides, overlay roles (e.g. SAs / field engineers), marketplace/channel nuances, and self-serve → sales-assisted conversions - Experience planning through a period of hypergrowth - Background in investment banking, finance or management consulting Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Member of Applied AI Team
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. Why this matters Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached. Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it? About the role This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off. Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center. We have offices in NYC, San Francisco, Seattle, and London. No two weeks are the same, but you can expect to: - Find the real problem: sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet. - Build the first of its kind: the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone. - Make it reusable: turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from. - Run the evaluation: own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs. - Scope deployments that land: 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up. - Get customers to production fast: take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming. - Present to anyone: walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon. - Bring the field back to the product: embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch. - Measure what the customer measures: time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours. What we value - People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one - Low ego: the customer's outcome matters more than who gets the credit - Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it - Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works - Adaptive and introspective: willing to learn, guide, lead, and follow What we need - You build things that run in production. Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool. - You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery - You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel. - Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Head of GTM Strategy & Ops - Global Partnerships
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Partnerships are a core growth motion at Fireworks, from cloud co-sell and marketplace motions to system integrators and technology partners. The Head of GTM Strategy & Ops - Global Partnerships is the business partner and strategic thought partner to the VP of Partnerships and the partnerships leadership team. You turn partner strategy into measurable pipeline stages, a reliable weekly operating cadence, and planning and capacity decisions. You will sit inside the Sales Strategy & Analytics team and work every day with partnerships leadership, partner managers, direct sellers and Finance. You will make partner-sourced and partner-influenced pipeline visible and trustworthy, run the partner forecast and pipeline reviews, and set the rules that keep partners and direct sellers working together. This is a builder role in a fast-moving startup. Some tooling and reporting exist, much of the operating system around them does not, and priorities change quickly. The right candidate is comfortable defining the process, doing the analysis themselves, and working with partnerships, sales, finance and engineering teams to get it adopted. Fireworks sells on consumption and hybrid commit + usage models, so experience with usage-based revenue is a strong plus. Responsibilities Business Partnership & Strategy - Act as strategic thought partner to the VP of Partnerships on where to focus, where to invest and what to stop across partner motions. - Help segment and tier partners, and translate partner strategy into joint plans, priorities and measurable goals. - Run the weekly, monthly and quarterly business reviews for Partnerships, with clear decisions, owners and deadlines. - Prepare executive and board-ready updates on the partner flywheel with the VP of Partnerships. Partner Pipeline, Forecast & Analytics - Define stage progression, sourced versus influenced attribution and credit rules for partner pipeline with Sales, RevOps and Finance. - Run the partner pipeline and forecast review: inspect deals, pressure-test commits and surface risk early. - Own the partner funnel analytics (stage conversion, win rate, sourced versus influenced split), ready for QBRs. - Define requirements for partner dashboards, forecasting views and alerts with GTM Analytics and GTM Engineering, and push for automation of weekly reporting. Planning, Targets & Capacity - Drive partner annual and in-year planning with Partnerships leadership, Sales and Finance. - Set partner pipeline and revenue targets in alignment with the VP of Partnerships and sales leadership. - Model partner team capacity and give hiring recommendations that tie headcount to pipeline and revenue goals. - Work with Incentive Strategy on how partner contribution is credited and rewarded. Partner Operations & Processes - Define rules of engagement between partners and direct sellers, including account ownership, deal credit and conflict resolution. - Build and maintain co-sell and referral processes, deal registration and CRM hygiene for partner data. - Partner with Enablement to onboard partner managers and sellers on partner motions and tools. - Track return on partner events and programs. Cross-Functional & AI-Native Ops - Partner with Finance, Legal, Marketing, Product and Field Engineering so partner priorities are heard and consistently planned for. - Use AI and agentic tooling in everyday work, and help partnerships and sales teams do the same. Qualifications - 7+ years in partnerships operations, strategy and operations, alliances, sales operations or consulting, including experience as a business partner to a partnerships or sales leader - Experience building partner pipeline reporting, attribution and forecasting, and a record of making the numbers trusted - Experience with co-sell, channel, alliance or marketplace motions - Experience running business reviews or forecast calls that produce decisions - Strong analytical skills, with comfort in SQL or BI tools - Credibility with senior leaders and the ability to influence without formal authority - Comfortable with ambiguity and building structure in a fast-moving startup - Experience building teams and processes as a business grows and scales - BA/BS degree in a quantitative field preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Experience with cloud marketplaces and hyperscaler co-sell programs - Experience with usage-based or hybrid commit + usage revenue models - Familiarity with Salesforce partner data and partner relationship management tools - Hands-on experience building workflows with AI or agentic tools Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of GTM Intelligence & Analytics
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Reporting to the Head of Sales Strategy & Analytics, the Head of GTM Intelligence & Analytics owns how Fireworks sees its go-to-market. You define the metrics, build the dashboards, and lead the analyses that sales, finance and executive leaders rely on in QBRs, forecast calls, and Pipeline Council. You will lead a small team of two in the near term, work closely with Finance, Product and Data Engineering so that revenue, pipeline and product usage numbers are trusted and defined consistently, and personally lead the hardest analytical problems, such as churn analysis and propensity models. As Fireworks grows from a handful of sellers to a global field organization, the questions get harder and the decisions get bigger. This role makes sure leaders have the right answer, quickly. This is a player-coach seat. You are expected to build and review the work yourself while developing the people on your team. Consumption and hybrid commit + usage economics are core to how we sell and how our business grows, so the right candidate has hands-on experience analyzing usage-based or hybrid commercial models, not only license ARR. Responsibilities Metrics, Definitions & Dashboards - Own the definitions for Fireworks' critical GTM metrics (for example pipeline stages and conversion, bookings, ARR, consumption, churn, and net revenue retention), agree them with Finance, RevOps and the Product team (for example how product usage, adoption and consumption are defined), and keep them documented and versioned. - Build, or direct the team to build, the dashboards leaders use every week, with one agreed source for each number. - Retire conflicting reports and make it clear which numbers are official. Advanced Analytics & Modeling - Lead complex analyses end to end, including churn and retention analysis, propensity models (conversion, expansion, churn), cohort and usage-to-revenue analysis (working with Product on usage signals), and pipeline conversion and win-rate analysis. - Turn analysis into clear recommendations for sales, finance and executive leaders, and track whether they worked. - Establish standards for model validation, so leaders can trust and reuse results. Operating Cadence Readiness - Make sure the data and tooling behind QBRs, weekly forecast calls, and Pipeline Council are accurate, timely and repeatable. - Track forecast accuracy and pipeline coverage, and explain misses. - Reduce manual preparation by automating recurring packs and reports. Partnering with Finance, Product & Data Engineering - Work with Finance to reconcile bookings, ARR and consumption to the financial plan and reported results. - Work with the Product team to define product usage and adoption metrics (for example active usage, model and feature adoption, and the drivers of consumption), and connect them to pipeline, expansion and churn analysis. - Partner with Data Engineering on source-of-truth data models across CRM, billing/usage and roster/quotas, so calculations are reproducible and auditable. - Define data-quality checks and priorities, and escalate gaps with clear requirements. Team & AI-Native Analytics - Manage, coach and grow a team of two analytics managers/analysts, and hire as the team scales. - Set the bar for analytical quality, documentation and speed. - Use AI and agentic tooling in everyday analysis, and show the team how to do the same. Qualifications - 8+ years in analytics, with 4+ years in GTM, sales, or revenue analytics - Experience leading or coaching analysts, and comfortable being hands-on - Advanced SQL and BI/dashboarding skills, plus experience with statistical or predictive modeling (for example churn or propensity models) - Experience analyzing a usage-based or hybrid commit + usage business - Track record of defining metrics with Finance and Product, and working with Data Engineering on source-of-truth data - Experience supporting QBRs, forecast calls, board or executive reporting - Clear communicator who can explain complex analysis to executives and push back with data - BA/BS degree in engineering, statistics, finance, economics or other quantitative fields preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Experience through a period of hypergrowth - Experience building a metrics or semantic layer, or modern analytics-engineering tooling - Hands-on experience building analysis workflows with AI or agentic tools - Familiarity with Salesforce, billing, and product usage data Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Manager of Applied AI Architecture, Industries
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste En tant que leader de deuxième niveau pour l’équipe Applied AI Industries en Europe du Sud et au Moyen-Orient chez Anthropic, vous piloterez l’adoption d’une IA de frontier en partenariat avec le reste de l’organisation de mise sur le marché. Nos clients Industries en France, Ibérie et Italie incluent de nombreuses plus grandes entreprises de la région dans les services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail, énergie et autres secteurs. Vous mettrez à profit votre expérience de construction et de direction d’équipes de vente technique pour piloter une transformation IA positive qui répond aux besoins métier de nos clients, satisfait à leurs exigences techniques et réglementaires, et offre un haut degré de fiabilité et de sécurité. Vous serez responsable de la direction et de la croissance de l’équipe d’architectes de solutions qui partenaire avec les directrices et directeurs de compte pour aider les entreprises à adopter et déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Plateforme de Développement Claude (notre API). Cela inclura l’utilisation de vos compétences techniques et votre expérience de vente consultative pour recruter d’excellentes personnes en première ligne de management et contributeurs individuels, établir des processus pour évoluer votre équipe, et représenter Anthropic directement dans les engagements clients stratégiques. Votre équipe couvre plusieurs pays et secteurs à la fois, vous serez donc responsable de la réflexion stratégique sur les comptes d’industrie complexes et de l’identification et du déploiement de solutions qui résonnent dans chaque marché, avec sa propre langue, sa culture métier et son contexte réglementaire. Responsabilités - Recruter, manager et guider une équipe de managers de première ligne qui construiront à leur tour des équipes d’Applied AI Architects (H/F) de pré-vente en France, Ibérie et Italie - Définir les objectifs de votre équipe en collaboration avec le leadership commercial et établir les attentes de performance de base sur votre équipe - Agir en tant que sponsor technique et exécutif pour les clients stratégiques de haute valeur dans la région et les conseiller sur leurs stratégies globales d’adoption de l’IA ou la délimitation des cas d’usage et l’exécution de pilotes - Collaborer étroitement avec le leadership commercial d’Europe du Sud (couvrant également le Moyen-Orient et l’Afrique) pour construire des stratégies pour les comptes d’industrie complexes et identifier de nouvelles façons de piloter l’adoption des produits Anthropic dans des secteurs verticaux spécifiques ou des cas d’usage horizontaux - Aider les clients à naviguer dans les exigences réglementaires locales et européennes (par exemple, la Loi sur l’IA de l’UE, le RGPD, DORA et les attentes de résidence des données) et adapter la façon dont votre équipe s’engage à la culture métier de chaque marché - Travailler avec des équipes interfonctionnelles comme le produit et l’ingénierie pour assurer qu’Anthropic priorise les commentaires des clients ou résout les obstacles à l’adoption dans la région - Voyager régulièrement en Europe du Sud pour les clients ou conférences pour des sessions de haut niveau, des ateliers techniques et la construction de relations - Établir une vision commune pour créer des solutions qui permettent une IA bénéfique et sûre dans les produits technologiques - Contribuer à la pensée stratégique par des présentations en conférences, des webinaires et la création de contenu technique - Rester au courant des tendances émergentes en IA et du paysage concurrentiel Ce profil est un bon ajustement si vous : - Avez 7+ ans d’expérience en gestion de pré-vente technique, incluant un leadership de deuxième niveau ou supérieur (direction de managers) - Avez vendu des produits techniques complexes aux grandes entreprises en France, Ibérie, Italie, Moyen-Orient et Afrique - Avez travaillé dans plusieurs secteurs, tels que services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail et énergie - Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire dans lequel opèrent vos clients, et adaptez votre approche à chacun - Pensez de façon hautement stratégique aux comptes d’industrie complexes et transformez cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter - Avez une profonde maîtrise technique des cas d’usage IA en entreprise, des intégrations d’API et des déploiements LLM - Prospérez dans la construction et l’évolution rapide d’équipes et de processus dans des environnements ambigus et mouvants - Ayez d’excellentes compétences en communication, collaboration et coaching - Ayez une présence exécutive forte et la capacité à cultiver des relations profondes avec les leaders métier et technique des plus grandes entreprises de la région - Ayez au moins une familiarité de haut niveau avec l’architecture et le fonctionnement des LLM - Ayez une passion pour rendre les technologies puissantes sûres et bénéfiques pour la société - Restiez à jour et informée en vous intéressant activement à la recherche émergente et aux tendances du secteur en IA Les candidates et candidats solides pourraient avoir : - Leadership de pré-vente d’entreprise à grande échelle : 5+ ans de direction d’équipes d’architectes de solutions à travers une hypercroissance (idéalement des dizaines de personnes dans plusieurs pays), avec expérience directe de direction de managers et développement de talents dans des environnements de vente de logiciels d’entreprise complexes - Gamme multilingue et multiculturelle : En plus de l’anglais, maîtrise d’une ou plusieurs langues parmi le français, l’italien, l’espagnol ou le portugais, et expérience de direction d’équipes distribuées dans plusieurs pays - Expérience avec les modèles commerciaux basés sur la consommation : Les candidats idéaux ont construit des cadres GTM ancrés sur la consommation, pas seulement sur les licences basées sur SaaS - Profondeur technique en IA + Engagement exécutif : Expérience pratique avec les plateformes d’IA et les modèles d’intégration d’entreprise, combinée à un historique avéré d’engagement des parties prenantes au niveau C dans des évaluations techniques de 10 M€+ et des cycles de vente d’entreprise - Expérience GTM multi-secteurs dans les secteurs réglementés : Succès démontré dans l’adaptation des approches techniques à différents secteurs verticaux, en particulier les secteurs réglementés tels que la banque, les assurances et la santé, y compris le travail avec les parties prenantes en matière de risque, de conformité et de comité d’entreprise About the Role: As the 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle-East at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Industries customers in France, Iberia and Italy include many of the region's largest enterprises across financial services, healthcare and life sciences, manufacturing, telecom, retail, energy, and other sectors. You'll leverage your experience building and leading technical sales teams to drive positive AI transformation that addresses our customers' business needs, meets their technical and regulatory requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the solutions architect team that partners with account executives to help companies adopt and deploy Anthropic's products, including Claude Cowork, Claude Code, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great 1st line managers and individual contributors, establish processes to scale your team, and represent Anthropic directly at strategic customer engagements. Your team covers several countries and industries at once, so you will be responsible for thinking strategically about complex industry accounts and for identifying and rolling out solutions that resonate in each market, with its own language, business culture, and regulatory context. Responsibilities: - Hire, manage, and guide a team of 1st line managers who will in turn build teams of pre-sales Applied AI Architects across France, Iberia and Italy. - Set goals for your team in collaboration with sales leadership and establish baseline expectations for performance across your team. - Act as a technical and executive sponsor for high-value strategic customers in the region and advise them on their overall AI adoption strategies or use case scoping and pilot execution. - Partner closely with Southern Europe sales leadership (also covering the Middle-East and Africa) to build strategies for complex industry accounts and identify new ways to drive adoption of Anthropic products within specific verticals or horizontal use cases. - Help customers navigate local and European regulatory requirements (for example the EU AI Act, GDPR, DORA, and data residency expectations) and adapt how your team engages to the business culture of each market. - Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption in the region. - Travel regularly across Southern Europe to customers or conferences for executive-level sessions, technical workshops, and relationship building. - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. - Contribute to thought leadership through conference presentations, webinars, and technical content creation. - Stay current with emerging AI trends and the competitive landscape. You may be a good fit if you: - 7+ years of technical pre-sales management experience, including 2nd-line leadership or above (leading managers). - Have sold complex technical products to large enterprises in France, Iberia, Italy, the Middle-East and Africa. - Have worked across multiple industries, such as financial services, healthcare and life sciences, manufacturing, telecom, retail, and energy. - Understand the cultural differences between Southern European markets and the regulatory context your customers operate in, and adapt your approach to each. - Think highly strategically about complex industry accounts, and turn that thinking into plans your team and sales counterparts can execute. - Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. - Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. - Have excellent communication, collaboration, and coaching abilities. - Strong executive presence and ability to foster deep relationships with business and technical leaders at the region's largest companies. - Have at least a high level familiarity with the architecture and operation of LLMs. - Have a passion for making powerful technology safe and societally beneficial. - Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: - Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally dozens of people across several countries), with direct experience leading managers and developing talent in complex enterprise software sales environments. - Multilingual and multicultural range: In addition to English, fluency in one or more of French, Italian, Spanish or Portuguese, and experience leading teams distributed across several countries. - Experience with consumption business models: Ideal candidates have built GTM frameworks anchored on consumption, not just SaaS-based licenses. - AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in €10M+ technical evaluations and enterprise sales cycles. - Multi-industry GTM experience in regulated sectors: Demonstrated success adapting technical approaches to different verticals, in particular regulated ones such as banking, insurance, and healthcare, including working with risk, compliance, and works council stakeholders. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Demo Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities - Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths - Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes - Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams - Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets - Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change - Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering - Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption - Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have - Proficiency in Python or TypeScript, with experience shipping working software end to end - Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval - Experience designing integrations with third-party APIs, data sources, and services - The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable - Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams - Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams - Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role - A track record of building reusable internal tools, templates, or self-service assets that other teams adopted - Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins - Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks - Experience building always-on or scheduled agentic systems that automate internal workflows - Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information - Front-end or product design skills that help demos feel polished and intuitive - Experience supporting product launches or running launch-readiness programs - A history of turning field feedback into concrete product input that influenced a roadmap - A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, VectorDB
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors. You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves. The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving, and the Memory & Search team, which owns search and memory inside claude.ai. We're looking for someone who has built vector or search systems that ran in production, at scale, with real users and a real on-call. You'll be hands-on in the code, and you'll also be the person deciding how the pieces fit together. Key responsibilities - Own the core of Anthropic's vector database layer: index structures, storage layout, query execution and the serving layer - Own production readiness - benchmarking against exact search, capacity planning, onboarding new workloads, and the operational tooling to run it at scale - Drive the recall, latency and cost trade-offs - quantization, filtered search, index build and refresh strategy, and how compute and storage are separated and scaled - Scale throughput by an order of magnitude as research and training demand grows, and work out whether the bottleneck is architecture, hardware or engineering bandwidth - Extend the retrieval stack toward hybrid retrieval - lexical search and fused ranking alongside vector search - Set the evaluation methodology for the system - recall targets, latency objectives, cost per query, and the regression detection that keeps them honest - Set technical direction for a growing team - lead design reviews, make architectural decisions others build on, and mentor the engineers joining the effort - Share the on-call for the systems you own Minimum qualifications - Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale - Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search - Experience with search relevance and ranking - Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code - Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements - A track record of independently scoping and delivering ambiguous, multi-quarter technical projects - Strong written and verbal communication, with experience driving alignment across teams with different priorities - Interest in AI safety and Anthropic's mission Preferred qualifications - Experience with object-storage-backed or disaggregated compute and storage database designs - Experience building or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems - Familiarity with embedding models and the retrieval demands of LLM training and inference - Experience using GPUs or other accelerators for index build or search - Prior experience as a technical lead on a database or search infrastructure team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Evaluation Engineer, Applied AI
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an Evaluation Engineer on the Applied AI team, you will shape how enterprise customers measure and trust AI solutions. You will work closely with clients and internal stakeholders to deliver evaluation systems that define when an AI model is ready for real business impact. The team's mission is to ensure every project—no matter how ambitious—moves from idea to production with clarity and accountability. Your work will sit at the intersection of research, engineering, and solutions, directly influencing how models are improved and deployed across varied domains. What You Will Do - Design and implement comprehensive frameworks to evaluate large language model (LLM) performance across customer use cases - Build and maintain scalable evaluation infrastructure and pipelines for rapid, reproducible assessment - Develop new evaluation methods for sector-specific or emerging model capabilities - Collaborate with customers to create custom evaluation suites that fit their unique needs and criteria - Partner with research teams to turn evaluation insights into actionable model improvements - Work with product teams to refine evaluation tooling based on user feedback - Define and communicate clear success metrics for "production-ready" AI models What We're Looking For - At least 3 years of experience evaluating ML, LLM, or agentic systems - Proven background in implementing AI or machine learning products, especially with APIs or back-end systems - Strong Python coding skills - Deep understanding of machine learning concepts and algorithms, especially as they pertain to LLMs - Experience communicating technical topics clearly to both technical and non-technical audiences - Familiarity with evaluation frameworks like LM Eval Harness or OpenAI Evals, or contributions to related open-source projects - Experience working with ML libraries (e.g., PyTorch, HuggingFace Transformers) - Collaborative, direct communicator who values outcomes and low-ego teamwork What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Machine Learning Research Intern (Summer 2027)
At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's Machine Learning Research team builds the foundation for the next generation of AI systems — pushing the boundaries of what's possible with frontier models while ensuring safety, reliability, and alignment at every step. Our work spans generative AI, reinforcement learning and advanced post-training methods, scalable oversight, synthetic data pipelines, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power machine learning pipelines for dozens of industry-leading customers. These models and systems form the backbone of Scale's long-term strategy, enabling billions of tasks monthly and supporting some of the most complex and advanced use cases in the AI ecosystem. As an intern, you'll work on a combination of deeply technical ML applications in production and cutting-edge research problems, with mentorship from world-class researchers and the opportunity to collaborate with leading teams across industry and academia. Interns own real, published or shipped work — not side projects. Example Projects - Measure the dangerous capabilities of frontier models and conduct preparedness research - Research the science and creation of new benchmarks for frontier models - Develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought - Research reinforcement learning and post-training methods that improve model reliability on high-stakes tasks - Research scalable oversight protocols that enable humans to produce and quality control reasoning chains beyond their native capabilities - Study the boundaries of model generalization and capabilities to inform data-driven advancements - Research synthetic and hybrid data with humans in the loop to scale up high-quality data generation - Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics - Create post-training or agentic solutions that integrate into our ability to deliver applications for enterprise and public sector clients Required to Have - Currently enrolled in a BS, MS or PhD program with a focus on Machine Learning, Deep Learning, or Natural Language Processing, with a graduation date in Fall 2027 or Spring 2028 - Available for a Summer 2027 internship (May/June start dates) in San Francisco Or New York. - Prior research experience or a track record of publications on LLMs, NLP, multimodal models, agents, safety, evaluation, alignment, or a related field - Experience with one or more general purpose programming languages, including Python, Javascript, or similar Ideally You'd Have - A previous internship in Machine Learning, Deep Learning, Natural Language Processing, Adversarial Robustness, Alignment, Evaluation, or Agents - Experience as a researcher — through internships, full-time roles, or at a lab - Publications at top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP or AAAI, or contributions to open source projects - Hands-on experience with reinforcement learning, agentic systems, or evaluation infrastructure How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco and New York is: $120,000 - $150,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Community Engagement Manager, Data Centers (Indian...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Principal Engineer Capacity/Compute
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Software Engineer, Memory & Search
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities - Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface - Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call - Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control - Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves - Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results - Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies - Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications - Experience building and operating user-facing products used by a large number of people, including the backend services behind them - Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design - Strong programming skills in Python and TypeScript, with experience across backend services and web front ends - A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback - Experience defining product metrics and running experiments to make decisions - Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users - Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners - Interest in AI safety and Anthropic's mission Preferred qualifications - Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one - Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking - Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking - Experience on consumer products with strong retention, or on personalization systems - Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA - Experience with latency-sensitive, performance-critical product work - Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer, Startups (Mandarin-speaking)
About the Team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. - Provide proactive guidance to maximize business impact and accelerate application development. - Experiment and prototype alongside customers, demonstrating practical use cases. - Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. - Synthesize and deliver valuable feedback to the Product and Research teams. - Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. - Partner with the Sales team across startup accounts to identify customer opportunities, align technical work with business goals, and help customers bring AI applications to production. You might thrive in this role if you: - Have ability to speak Mandarin is a requirement as you will be working with Mandarin-speaking customers and/or vendors in the role. - Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued. - Have passion for startups and a belief in their potential to become future large enterprises. - Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices. - Built and/or delivered prototypes on top of our API platform. - Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Architect, Partnerships
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior People Technology Solutions Lead
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. Key Responsibilities People Technology Strategy & Innovation - Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities. - Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions. - Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations. - Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities. - Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments. AI, Automation & Agile Solution Delivery - Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities. - Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments. - Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development. - Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability. - Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight. - Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems. - Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop. Partnership & Enterprise Collaboration - Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes. - Connect PTS strategy and use cases with the broader IT technology strategy , identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions. - Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture. - Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries. - Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards. Influence, Adoption & Practice Development - Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action. - Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required. - Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration. - Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices. - Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery. - Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support. - Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work. Required Qualifications - 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions. - Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches. - Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation. - Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations. - Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority. - Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions. - Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information. - Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value. - Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes. - Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution. Preferred Qualifications - Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment. - Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks. - Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities. - Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions. - Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information. - Experience with AI-assisted software development and coding agents (e.g., Codex). - Experience with enterprise service management and workflow platforms (e.g., ServiceNow). - Experience with enterprise AI agent or conversational platforms (e.g., Moveworks). - Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate). - Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions. Profile The successful candidate will: - Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority. - Maintain a strong bias for action and learning , using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity. - Remain hands-on , moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems. - Build a practice, not a dependency , increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution. - Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery. - Be technology curious, but not technology led , embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome. - Understand People Technology , recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements. - Be a multiplier , with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $169,400 - $254,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Solutions Engineer, AI Build Team
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI Build team is a new, industry-focused team dedicated to building with the world’s leading and fastest-scaling AI companies. We work alongside Stripe’s AI Solutions Architecture and GTM teams, and across Stripe’s product suite to help customers adopt emerging products, close interoperability and 0→1 solution gaps, and bring field learning directly into Stripe’s product roadmap. The team owns strategic proof-of-concept engagements across the pre- and post-sales lifecycle, complementing Stripe’s AI account teams and the product depth of Stripe’s specialist teams. What you'll do As a Solutions Engineer on the AI Build team, you’ll work directly with frontier AI companies on the payments, billing, and monetization infrastructure underlying their core businesses. You’ll own complex proof-of-concept engagements on Stripe’s frontier products, from initial scoping through activation and handoff, combining customer discovery, solution design, rapid prototyping, and cross-functional leadership. You won’t simply implement a finished product: you’ll build with customers, identify where Stripe’s products or integrations need to evolve, and help customers feel as though they are inside our product roadmap. Responsibilities - Own strategic POCs end to end: Sell, scope, and lead proof-of-concept engagements from initial customer commitment through activation. - Build with customers: Work deeply with users’ engineers and technical leaders to understand their workflows, rapidly prototype solutions, and establish credible paths to production. - Design across Stripe: Create solutions that span multiple Stripe products and determine whether blockers require configuration, integration work, custom development, or a core product change. - Close 0→1 gaps: Navigate incomplete products, evolving requirements, and interoperability gaps while balancing immediate customer outcomes with reusable solutions. - Influence the roadmap: Translate customer needs and deployment friction into clear product requirements, and partner with product and engineering teams to shape how Stripe’s frontier products are built. - Lead cross-functionally: Coordinate AI account teams, AI and specialist Solutions Architects, product and engineering teams, Professional Services, and post-sales technical resources across the engagement lifecycle of new builds and deployments. - Create repeatable patterns: Turn successful customer-specific work into reusable prototypes, reference architectures, implementation playbooks, and solution components. - Stay close to the AI frontier: Operate at the pace and in the working style of AI-native companies, and remain current on emerging companies, products, business models, and technical developments across the industry. Who you are You are a customer-oriented technical builder who thrives in ambiguous, fast-moving environments. You build trusted relationships with engineers, technical leaders, and senior stakeholders, and you are equally comfortable discovering an unclear problem, designing an architecture, prototyping a solution, and coordinating teams through activation. You use code pragmatically to accelerate your work. You communicate clearly, lead through influence, and look for patterns that can turn one customer engagement into a better product or repeatable approach for many customers. Minimum requirements - 7+ years of relevant experience in customer-facing technical delivery, solutions engineering, implementation, technical product management, or a related field - Experience owning complex customer engagements from discovery and solution design through implementation or activation, including work across both pre- and post-sales phases - Demonstrated success in ambiguous, 0→1 environments where the standard product, integration, or implementation pattern did not yet exist - Strong understanding of APIs, integrations, application architecture, and data flows, with the judgment to distinguish implementation gaps from core product gaps - Ability to prototype rapidly using modern AI coding harnesses and development tools such as Cursor, Claude Code, or Codex - Working proficiency in one or more relevant languages, such as Python, JavaScript/TypeScript, Java, or Ruby; depth in a particular language is less important than the ability to learn quickly and build credible prototypes - Ability to build trusted relationships with customer engineers, technical leaders, founders, and other senior stakeholders - Ability to lead through influence across sales, product, engineering, implementation, and post-sales teams while maintaining clear ownership of the customer outcome - Experience operating at startup speed and in Slack-first, rapidly changing environments, along with active engagement in the broader AI industry This role offers a unique opportunity to partner directly with leading AI companies and work on the financial infrastructure that powers their businesses. As an early member of Stripe’s AI industry team, you’ll help shape how Stripe partners with frontier companies, brings emerging products to market, and translates customer insights into product direction.
Senior ML Data Scientist - Women’s Health
Senior ML Data Scientist - Women’s Health at ŌURA. Femtech Insider network role. Industry tags: Artificial Intelligence (AI), Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Mobile, Mobile Apps, Software, Wearables, Wellness. Skills: Machine Learning, Data Science, Python (Programming Language), SQL (Programming Language), Statistical Modeling, Deep Learning, Time Series, Signal Processing. Locations: United States, Remote. Work mode: remote.
Senior Machine Learning Engineer, CX
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively. What you'll do: - Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions. - Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery. - Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time. - Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale. - Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows. Required Skills and Experience: - 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. - Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems. - Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications. - Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas. - Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. P78698 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $191,250 - $225,000 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Head of Solutions Operations
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the job Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solutions organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide. The Solutions organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes. Solutions Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific. We are hiring a Head of Solutions Operations . We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solutions scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership. What you will do - Own the Solutions operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solutions tooling stack, and safety, security, and compliance built into how the team works. - Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography. - Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground. - Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies. - Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP. - Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team. - Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase. - Partner across functions. Work daily with Solutions leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no. How We Work in Solutions - We care about people and outputs. What matters is what you ship. - The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not copying what worked before. - We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you Whatever your path, you bring: - Extensive leadership experience , with demonstrated impact building and leading teams or functions in a fast-scaling environment. - A track record of industrializing something handcrafted but working : processes, systems, and teams that scaled an order of magnitude without losing what made them work. - The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action. - Data-driven and AI-fluent : you build the internal tools, automations, dashboards, and AI workflows you rely on. - Global operating range : you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders. - Stakeholder management : you align competing priorities and drive decisions without formal authority. - Fluent in English ; additional languages are a plus. Ideally - Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations. - Experience operating at global scale across EMEA, the US, and Asia-Pacific. - Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot. - MBA or advanced degree preferred. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Global Technical Talent Lead
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a Global Technical Talent Lead to own hiring across Engineering, Product, Design, Research, and Growth worldwide. Reporting to the Head of Talent, you will lead Talent leaders and partner with senior engineering, growth, and research leaders to build the teams powering ElevenLabs. Your mandate is to bring cohesion to hiring strategy, execution, and standards across this portfolio, with accountability for hiring quality, pace, and predictability. - Turn engineering priorities into a deliverable global hiring plan. Partner with functional leaders to translate product roadmaps, research priorities, and workforce plans into hiring plans. Own Talent capacity allocation, planning, forecasting, and reporting. - Build and lead a cohesive global recruiting organization. Coach and develop Talent leaders, establish clear accountability for results, and allocate resources across disciplines and markets as priorities change. Build shared practices for talent mapping, sourcing, candidate experience, and closing while developing the specialist expertise each talent market requires. - Define and uphold the hiring bar across technical disciplines. Partner with functional leaders to define excellence by role and level, translating it into clear success profiles, rigorous assessment, and consistent hiring decisions. Equip the team to engage exceptional talent, credibly represent the work, and help candidates understand the opportunity and impact. - Make hiring performance visible and predictable. Establish regular hiring reviews with functional and senior leadership to track delivery, surface risks, and resolve decisions. Use market intelligence and funnel data to advise on location strategy, skill availability, and interviewer capacity. Partner with Talent Ops to improve systems, tools, processes, and the use of AI, so hiring is demonstrably faster and more efficient. Requirements - You have led Talent through hypergrowth at a company that grew 3x or more in two years, owning delivery of hundreds to thousands of hires annually across multiple regions and time zones. You have a proven track record of managing teams of Talent leaders and delivering business critical hiring across engineering, research, growth, design, and product disciplines. - You can earn the trust of senior engineering, growth, product, design, and research leaders, partner on hiring decisions, and advise on talent availability, location, role scope, and assessment. You have deep expertise in the varying talent markets. - You have translated changing business and technical priorities into credible hiring forecasts and recruiting capacity plans. You use pipeline, conversion, hiring lead times, and interviewer capacity to distinguish achievable commitments from emerging risks and guide resource decisions. - You combine strong people leadership with deep recruiting expertise. You have raised team performance through coaching, partnered with hiring leaders to improve assessments, and maintained a high hiring bar at scale. You can personally unblock a difficult search or help close an exceptional candidate. Location This role is remote and can be executed globally. Preference for candidates based in US East or GMT timezones. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Global GTM Talent Lead
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a Global GTM Talent Lead to own hiring for the Revenue organization worldwide. You will serve as the CRO’s primary talent partner and lead regional Talent leaders and their teams across North America, LATAM, EMEA, UAE, and APAC. Your mandate is to bring global cohesion to how we plan, assess, and hire revenue talent, with accountability for hiring quality, speed, and predictability. This is a high visibility role: your hiring plan underpins revenue commitments to the board. - Set and deliver the global Revenue hiring strategy. Translate business priorities into clear plans for each team and region, building alignment with executive leaders, Finance, RevOps, and Talent. Partner with RevOps on capacity and headcount planning, connecting coverage, productivity, ramp, and attrition assumptions to hiring needs. Bring a clear point of view on priorities, sequencing, and achievable commitments, and adjust plans as the business changes. - Build, develop, and lead a high-performing global recruiting organization. Coach, develop, and hire regional Talent leaders, set clear expectations, and give teams the support and resources they need to succeed. Strengthen leadership capability, address performance gaps, and align recruiting capacity with business priorities. - Own hiring outcomes and the global bar for revenue talent. Partner with Revenue leaders to define excellence by role and level, and embed it in sourcing, assessment, and hiring decisions. Build the team’s ability to attract and close exceptional sellers and revenue leaders. Own delivery from hiring plan through accepted offer and start date, meeting ambitious goals for both quality and speed. - Make hiring measurably better. Build trusted relationships and a regular decision-making cadence with the CRO, senior stakeholders, and cross-functional partners. Set clear metrics, track progress, and act early on risks. Partner with Talent Ops to improve systems, tools, processes, and the use of AI, so hiring is demonstrably faster and more efficient. Requirements - You have led Talent through hypergrowth at a company that grew 3x or more in two years, owning delivery of hundreds to thousands of hires annually across multiple regions and time zones. You have maintained a high talent bar while meeting aggressive hiring goals. - You have built and led teams of recruiting leaders, with a track record of developing strong managers, improving performance, and making necessary people decisions. You lead through your teams and are fully hands on, holding yourself to an even higher standard than those around you. - You have been a trusted advisor to executives, shaping decisions and changing plans through your insight and judgment. You can credibly partner with C-Suite, RevOps, and Finance on workforce assumptions, translate them into achievable hiring commitments, and bring stakeholders into alignment. - You bring deep expertise in attracting and closing revenue talent, alongside a clear view of how recruiting should evolve. You have improved hiring speed and efficiency through better processes, tools, and data, and can articulate where AI should change the work and where human judgment remains essential. Location This role is remote-first, so it can be executed from anywhere. Preference for candidates US-East or GMT timezones. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Chief of Staff
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a Chief of Staff to partner with the Head of Talent in building and scaling ElevenLabs’ global Talent organization. You will help shape strategy, turn priorities into action, and lead work that requires deep talent expertise and focused execution. Your remit will span the entire Talent organization: GTM, G&A, and Technical recruiting, Talent Operations and Talent Programs. You will embed with teams where additional leadership or expertise can accelerate progress, and own high visibility projects sponsored by the Head of Talent and senior leadership across ElevenLabs. - Turn Talent strategy into execution. Partner with the Head of Talent to identify priorities, evaluate tradeoffs, and translate decisions into clear plans, owners, and outcomes. Bring an informed point of view on where the organization needs to invest or change, build alignment with Talent leaders and cross-functional partners, and follow through to delivery. - Embed where you can make the greatest difference. Step into teams or initiatives that need additional leadership, expertise, or execution capacity. Diagnose what is holding progress back and take responsibility for improving it, whether that means leading a hiring initiative, strengthening a process, or supporting a function through change. Build capability as you go, with clear ownership and a sustainable handover. - Lead high visibility projects from idea to outcome. Own strategic initiatives sponsored by the Head of Talent and other senior leaders, such as new sourcing experiments and targeted talent campaigns. Turn early ideas into focused experiments, lead the execution, and use evidence to decide what to scale, adapt, or stop. - Improve how the Talent organization works together. Partner with Talent leaders to resolve issues that cut across teams, improve decision-making, and share effective practices. Use hiring data and direct experience to identify opportunities, and help turn successful approaches into repeatable ways of working, including better use of tools and AI. Requirements - You bring deep talent expertise and have helped a global organization navigate hypergrowth at scale, including hundreds to thousands of hires annually across multiple regions and time zones. You understand what needs to evolve as hiring volume, team size, and business complexity increase. - You are equally comfortable shaping strategy and delivering the work yourself. You can advise an executive on a difficult tradeoff, build a plan from an ambiguous brief, and go deep into a search, process, or team to understand and solve the underlying problem. - You have led teams, functions, or complex talent initiatives with clear accountability for results. You can earn trust quickly, lead through influence or direct ownership, and strengthen the teams you support. You bring the judgment to know when to step in, when to coach, and when to hand ownership back. - You have delivered high visibility projects with senior executive stakeholders, bringing structure, pace, and sound judgment to evolving priorities. You can challenge an idea constructively, test it pragmatically, and communicate clearly about progress, results, and decisions needed. Location This role is remote-first, so it can be executed from anywhere. Preference for candidates US-East or GMT timezones. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
GTM Enablement - Sales Execution & North America L...
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Sales Execution & NA Enablement Lead to raise how our enterprise sellers plan, pursue, and win complex, technical deals. This is not a traditional training role. You’ll set the standard for what great enterprise selling looks like, turn it into artifacts and operating rhythms, and make sure sellers and managers actually use it. The role has two mandates: own key global sales execution programs, and act as the primary Enablement partner to North America sales leadership. You’ll work closely with the Global Head of Enablement, Sales Leadership, RevOps, Product Marketing, Product & Technical Enablement, and FDE. What you’ll do - Own enterprise sales execution: Build and operationalize the critical artifacts that drive excellent sales execution. - Enable sellers to win technical enterprise deals: Coach reps to build business cases with champions, read 10-Ks, and connect ElevenLabs capabilities to measurable outcomes for technical and economic buyers. - Partner with NA leadership on enablement: Diagnose field gaps and adapt global programs to NA needs, including competitive positioning, developer-led motions, and vertical playbooks. - Facilitate globally: Lead highly engaging, practical sales execution sessions, not just build the programs behind them. - Manage the coaching and operating rhythm: Embed selling standards and artifacts into how managers inspect deals and coach sellers. - Build the foundation for a vertical selling motion: Lay the groundwork for vertical selling, which is becoming a global priority, not just an NA need. - Execute in an AI-native way: Use AI to scale coaching, practice, and reinforcement, going beyond general AI fluency. Requirements - 10+ years experience in enterprise sales leadership and enablement experience, ideally in an AI-native or developer-focused company - Excellence building and operationalizing value-selling artifacts across sales org with measurable results - Experience with MEDDICC, Command of the Message, Challenger, or similar methodologies, and the judgment to adapt them - Experience enabling frontline sales managers and building strong coaching methodologies - AI fluency, and comfort building in a fast-growing environment where the operating model is still taking shape - Enough technical depth to credibly support sellers selling to developers and technical buyers - Proven cross-functional influence across Sales, RevOps, PMM, Product, and FDE teams - Bonus: Experience working in voice AI Location This is a remote-first role. Candidates must be based in North America. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Adoption Strategist - North America
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customers' agent prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - must be proficient in English. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This is a remote-first role. Candidates must be based in North America. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Web Designer, Brand Web Experience
For 10 years Scale AI has worked with leading organizations to build reliable AI systems for the world's most important problems. Join our team to shape the future of AI and push the boundaries of innovation. The Scale Interactive Brand Studio (9 people full-time) is responsible for Scale’s visual identity and brand strategy, the design and development of scale.com, and the creation of original creative content (videos, ads, social assets, and swag). We design for a variety of applications including trade show booths, printed marketing materials, and digital advertising. We grow the team with intention - adding ambitious, motivated talent that will build Scale’s brand perception by executing with pace and quality. This role reports to the Manager of Web Experience. You will: - Design Exceptional Web Experiences: Design responsive, visually compelling website layouts, page templates, graphics, and interactive UI patterns across Scale's digital properties, with a primary focus on scale.com. - Build for Scale: Create reusable design components, patterns, and systems that establish consistency across web experiences while enabling teams to move quickly and efficiently. - Translate Ideas into Designs: Develop wireframes, user flows, prototypes, and high-fidelity mockups that translate business objectives, brand direction, and user needs into intuitive digital experiences. - Bridge Design and Development: Partner closely with web engineers to communicate design intent, prepare implementation-ready specifications, review builds, and ensure high-quality execution. - Design for Performance and Usability: Apply responsive design, accessibility, usability, and web performance best practices to create experiences that work seamlessly across devices and screen sizes. - Evolve the Brand: Champion consistent application of Scale's visual identity while exploring new design directions that reflect the company's growth, innovation, and position in the AI industry. - Experiment with Emerging Technology: Explore AI-powered design and development tools, rapid prototyping, and new interaction patterns to accelerate workflows and push the boundaries of modern web experiences. - Iterate with Impact: Partner with cross-functional stakeholders to incorporate feedback, evaluate design effectiveness, and continuously improve the quality and effectiveness of our web experiences. You are: - You have 8+ years of experience in web design, digital design, visual design, or a related field, supported by a portfolio demonstrating strong visual craft, web design expertise, and shipped digital experiences. - You are proficient in Figma for design systems, component libraries, prototyping, and developer handoff. Familiarity with Adobe Creative Cloud, AEM, Canva tools is a plus. - You understand responsive design, typography, layout systems, accessibility, interaction design, and modern web UI/UX principles. You can design within technical constraints without compromising the quality of the experience. - You understand how designs translate into production websites and have working knowledge of HTML and CSS. You can create scalable design patterns and reusable components that maintain visual consistency across complex websites and content types. Familiarity with modern front-end frameworks, component-based architectures, and CMS platforms is a plus. - You know how to create scalable patterns and reusable components while maintaining visual consistency across complex websites and multiple content types. - You are excited about emerging AI tools and their potential to transform design and development workflows. You actively experiment with new tools and bring fresh ideas to the team. - You balance speed with craft, manage competing priorities, and deliver high-quality work in a fast-moving environment. - You communicate clearly, welcome constructive feedback, solve problems proactively, and work effectively with design, engineering, marketing, and brand partners. Nice to haves: - Experience designing and implementing motion graphics, animations, and micro-interactions for digital experiences. - Familiarity with modern web development workflows and frameworks such as React and Next.js, as well as deployment platforms such as Vercel. - Experience working with headless CMS platforms, particularly Sanity, and designing flexible, modular page templates. - Familiarity with AI-assisted design, prototyping, and vibe-coding tools for rapidly exploring and building interactive web experiences. - Experience using web analytics, experimentation, or user research to inform design decisions and improve user journeys. - Experience creating data visualizations, technical graphics, or complex information experiences. - An interest in the AI industry and an understanding of Scale's mission and products. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $140,400 - $175,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Full-Stack Software Engineer, Child Safety Tools &...
About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: - 7+ years of experience as a software engineer - Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm - Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. - Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. - Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research - Contribute to the team’s technical strategy, especially for child safety related tools and systems - Report on impact in a data-driven fashion You might thrive in this role if you: - Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling - Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems - Have experience building and operating large-scale data pipelines or search/retrieval systems - Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL - Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback - Favor pragmatic solutions and can ship in hacky, low-support environments when needed - Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals - Have prior experience working on engineering for high-severity harms - Bring intuition for the pain points and workflows of operations and investigative teams, and curiosity about solving complex investigations - Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Events Design Producer
About the Role We’re seeking an experienced Events Design Producer to lead the design production of high-profile events and experiences across the company. This is a high-impact role embedded within a fast-moving, cross-functional organization. You will oversee multiple event design workstreams, providing operational structure and hands-on production leadership from early concept development through fabrication, installation, and live execution. You’ll partner closely with creative, events, production, brand, marketing, and cross-functional stakeholders to ensure every physical and visual touchpoint is cohesive, on brand, and delivered to an exceptionally high standard. You will coordinate internal teams, agencies, fabricators, and vendors while balancing resources and priorities across concurrent projects. In this role, you will: - Lead design production across company events, from intimate gatherings to large-scale global experiences - Oversee the design development and execution of event environments, stages, signage, wayfinding, scenic elements, activations, and branded guest experiences - Establish clear roles, workflows, workback schedules, budgets, and quality standards across event design workstreams - Assess incoming event design needs and coordinate creative resources, agencies, fabricators, and vendors based on scope, timing, and complexity - Provide hands-on production leadership to keep complex or high-priority event design projects moving from concept through onsite delivery - Partner closely with event leads and creative teams to translate event goals, audience journeys, and program narratives into clear design briefs and deliverables - Guide designers and external partners in developing cohesive spatial, environmental, scenic, digital, and print design systems that align with brand standards - Synthesize and prioritize input from multiple stakeholders, turning feedback into clear, actionable direction for designers, agencies, fabricators, and vendors - Maintain visibility across design milestones, budgets, approvals, dependencies, fabrication schedules, installation plans, risks, and onsite production documentation - Ensure tight alignment across event identity, environment, stage, signage, digital surfaces, printed materials, and the end-to-end audience experience - Lead design reviews, technical handoffs, site walks, production check-ins, and onsite quality control through installation and live execution - Drive design-production decisions in a fast-paced environment with shifting directives, compressed timelines, and competing priorities - Identify opportunities to improve event design production processes, briefs, templates, vendor workflows, and ways of working - Maintain calm, clarity, and executional rigor during high-pressure moments leading up to and during event installation and live execution - Partner with creative and events leads to continually reprioritize projects and creative resourcing as urgent needs arise - Develop integrated workback schedules for multiple cross-functional teams across several concurrent global events; communicate deadlines proactively and consistently, and anticipate and address blockers as they arise You might thrive in this role if you have: - 8+ years of experience producing event design, experiential design, environmental design, or branded experiences, ideally within technology or a fast-moving global organization - Experience leading multidisciplinary teams of designers, creative producers, agencies, fabricators, technical partners, and vendors - Demonstrated ability to oversee multiple complex event design and production workstreams simultaneously - Strong creative-production leadership skills, with the ability to provide clear direction, thoughtful feedback, and support to teams working under tight timelines - Experience managing creative workstreams from early concept and design development through fabrication, installation, live execution, and strike - Strong visual judgment and experiential storytelling instincts, with exceptional attention to detail across spatial design, brand expression, materials, and guest experience - Proven ability to navigate ambiguity, synthesize diverse opinions, and establish clear priorities and decision paths - Confidence working directly with senior leaders and guiding stakeholders through rapid creative review and approval cycles - Strong budget, resource-planning, vendor-management, and project-management skills, including the ability to anticipate risks and resolve competing demands - Composure, decisiveness, and reliability under tight deadlines, onsite installation demands, and live-event pressure Additional Details - Must be in San Francisco 3 days a week to work closely with internal teams - Travel will be required for major company events, site visits, installations, and production weeks - Extended hours should be expected as key event milestones, installations, and live dates approach Why This Role Matters Events are among the company’s most visible and important brand moments. This role will ensure that event design projects across the company are scoped thoughtfully, managed effectively, and delivered with consistency, precision, and craft. By connecting creative ambition with production reality, the Events Design Producer will help build a scalable, high-performing function that turns ideas into cohesive, memorable experiences for audiences around the world. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Director of Events Management
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Global Events & Experiences team brings people together around OpenAI’s technology, ideas, and mission. Our experiences deepen understanding, build trust, and create meaningful connections across the communities we serve. Our work spans developers, startups, founders, enterprise customers, executives, researchers, policymakers, media, and more. We lead with curiosity, thoughtful hospitality, and a deep commitment to shining the spotlight on others. About the Role We are looking for a Director of Events Management, reporting to the Global Head of Events, to lead the event management arm of our team. You’ll oversee a diverse portfolio, from flagship conferences and developer programs to executive gatherings, research events, and policy and media engagements. This is a people manager role leading an approximately 10-person, high-performing, high-agency team. You’ll invest in their growth and give them the clarity and autonomy to do strong work, supported by efficient team operations, effective agency partnerships, and sustainable workloads. Working under the Global Head of Events, you’ll lead the team in translating business priorities into event experiences that tell compelling stories through OpenAI’s products and partners. Partnership with Creative Production and Technical Production leaders will connect planning and delivery. In this role, you will: - Lead, mentor, and develop the team through clear goals, candid feedback, career support, and company context. Make tough calls on priorities and performance when needed, while maintaining trust, agency, and high standards. - Partner with the Global Head of Events to prioritize projects, assess new requests, and allocate capacity across the portfolio, surfacing tradeoffs and recommending what to pursue, sequence, or defer. - Build efficient, consistent operations through clear intake, briefs, project plans, approval paths, and reusable tools and playbooks that reduce duplicated effort and make ownership visible. - Manage agency partnerships, including selection, scopes of work, onboarding, and performance reviews. Set clear expectations for quality, cost, and accountability in partnership with Procurement, Legal, and production leads. - Build a deep understanding of each audience’s needs and expectations, and guide the team in translating those insights into thoughtful hospitality, accessible experiences, and relevant content. - Become an expert in OpenAI’s brand and what people should leave events thinking and feeling. Bring a clear point of view on what great looks like and what we want OpenAI to be known for, and sharpen it with the team. - Align cross-functional partners across Marketing, GTM, Product, Research, Global Affairs, Communications, and executive teams on event goals, audiences, messaging, and decisions. - Partner with Creative Production and Technical Production leaders on clear responsibilities, handoffs, and shared plans, ensuring event management needs are integrated into delivery. - Maintain visibility into budgets, timelines, dependencies, and risks across the portfolio. Help teams resolve issues early, navigate competing needs, and escalate consequential decisions with clear recommendations. - Establish practical measures of event outcomes and operational health. Share progress and learnings with leadership, and turn audience feedback and post-event reviews into improvements across the team. You might thrive in this role if you: - Have 14+ years of experience in event management, including leading complex event portfolios and managing teams. - Bring substantial experience leading complex event portfolios across audiences and formats, with a track record of building capable teams and delivering through others. - Are a thoughtful people leader who builds trust, coaches with care and candor, handles difficult conversations constructively, and creates a collaborative, low-ego team culture. - Have a systems-oriented approach to operations, with strong judgment about which processes create clarity and efficiency and where flexibility serves the team better. - Know how to build effective agency relationships and manage scopes, budgets, and performance while protecting quality and using resources responsibly. - Communicate clearly and influence across functions and seniority levels, bringing calm judgment to ambiguity, competing priorities, and high-visibility work. - Are curious about AI and motivated by OpenAI’s mission, with a strong instinct for storytelling, hospitality, and experiences that respect the needs of different audiences. Workplace and Location This role is based hybrid in San Francisco. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Audio Engineer, Live Video
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Global Events Studio Team creates exceptional live and recorded video for Press, Marketing, Developer Experience, and Communications. About the Role The Audio Engineer will be the senior audio authority for high-profile livestreams, broadcast-style productions, studio recordings, public venue events, and critical on-location shoots. This person will design resilient audio systems, serve as A1 when failures are immediately visible, and deliver exceptional spoken-word audio across live, recorded, remote, and AI-enabled production workflows. In this role, you will: - Own audio design and A1 execution for complex broadcasts, live stage events, podcasts, and critical film/on-location shoots - Build and operate redundant program, stream, multitrack, camera, backup-recorder, and archival audio paths with real-time monitoring and recovery procedures. - Mix full-duplex speech-to-speech audio between humans and AI models - Design, commission, standardize, document, and improve audio signal flow for studios, control rooms, event spaces, and portable production systems. - Rapidly assess unfamiliar venues and design reliable systems around acoustic, power, network, access, RF, and footprint constraints. - Lead rigorous preproduction: technical designs, input lists, patch plans, frequency plans, rehearsals, testing, monitoring, redundancy, and fallback capture. - Diagnose and repair signal-chain, DSP, synchronization, routing, RF, networking, and hardware faults during live production. - Lead audio crews and freelancers, challenge flawed technical plans, and communicate decisive options under pressure. - Own multitrack recording, editorial handoff, backup, delivery, and archival workflows across professional formats and specifications. You might thrive in this role if you have: - 8+ years engineering complex live, broadcast, and studio production, including high-profile livestreams, public venue events, design, configuration, and programming of physical audio infrastructure, and critical on-location filming or streaming. - Proven experience serving as A1 when failures are immediately visible and time for sophisticated workarounds is measured in seconds. - Expert command of gain structure, routing, EQ, dynamics, automixing, feedback control, real time noise suppression, mix-minus, IFB, intercom, playback, comms, and latency management. - Deep experience designing and troubleshooting redundant program, stream, multitrack, camera, backup-recorder, and archival audio paths. - Advanced proficiency with networked audio and DSP systems such as Dante, AVB, SMPTE ST 2110, Q-SYS, Yamaha, and Shure. - Strong IP-networking knowledge, including clocking, multicast, VLANs, QoS, and diagnosing failures across audio, control, and enterprise IT environments. - Expert wireless-microphone and RF coordination skills across crowded, high-consequence production environments, including frequency planning, antenna distribution, and intermodulation. - Ability to capture exceptional spoken-word audio for keynote presenters, executive livestream hosts, stage panels, podcasts, voiceover, remote guests, and acoustically difficult spaces. - Advanced microphone selection and placement skills, including lavalier concealment, boom technique, room treatment, noise control, and feedback prevention. - Ability to mix full-duplex speech-to-speech audio between humans and AI models for a variety of different event formats - Fluency with broadcast encoders, embedded audio, streaming protocols, conferencing platforms, and external distribution endpoints. - Expert-level understanding of room acoustics and a fundamental understanding of acoustic science. - Demonstrated success diagnosing and repairing signal-chain, DSP, synchronization, routing, RF, networking, and hardware faults during live production. - Strong multitrack recording, timecode, sync, metadata, editing, mixing, delivery, backup, and archival judgment across professional formats and loudness specifications. - Functional audio post-production skills, including dialogue cleanup, noise reduction, EQ, dynamics, mix revisions, and delivery preparation. - Ability to lead audio crews, support technical freelancers, challenge flawed technical plans, and communicate decisive options under pressure. - Willingness to work onsite, travel globally as needed, and support rehearsals or productions outside standard hours when critical productions require it. Workplace & Location This is an onsite role and will require 5 days a week in our San Francisco office, with global travel and support outside standard hours when critical productions require it. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Finance, Emerging B2B Products
About the Team The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, help allocate resources, and steer the business toward its highest-impact long-term outcomes. Within Strategic Finance, the B2B Product Finance team owns the financial perspective on growth across OpenAI’s B2B portfolio. We connect monetization and customer economics with compute demand, capacity, margin, and resource planning, partnering closely with Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and other Finance teams. About the Role We are hiring a strategic finance partner to partner with Product and GTM leaders in incubating and launching new B2B Products. You will evaluate new product initiatives and commercial viability, help shape commercial strategy, develop forecasts and revenue targets, and build the 0→1 financial foundations and decision-making frameworks to scale these products. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Support strategic initiatives and new product launches, including but not limited to: early opportunity sizing, pricing, packaging, and business development deal structuring to enhance product profitability. - Deep dive into frameworks and process improvements to increase our sophistication in analyzing, forecasting, and optimizing product contribution margins and user lifetime value. - Establish and manage key metrics underpinning product revenue,gross margin performance, and other leading indicators, and regularly monitor, analyze, and report on these metrics to drive continuous improvement and operational excellence. - Stay updated on market trends and competitive dynamics to refine financial strategies. - Create high-quality executive and Board-facing presentations. - Collaborate with Accounting and FP&A teams to evolve financial forecasting and reporting processes. You might thrive in this role if you have: - 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company. - Direct ownership of strategic finance, product finance, commercial finance, pricing and monetization, or product P&Ls in a complex B2B business. - A track record of deep cross-functional partnership across Product, GTM, Data Science and the ability to influence senior leaders when incentives or priorities conflict. - Expert modeling skills, including building detailed product P&Ls and operating models. - The ability to distill complex financial data into actionable insights and effectively communicate with leadership. - Excellent communication skills and the ability to craft compelling narratives using data. - Attention to detail and a commitment to accuracy in financial reporting and analysis. - Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis. - Enthusiasm for technology and artificial intelligence. - Experience with SQL and AI fluency, including experience using tools such as Codex to automate workflows, build analytical tools, and improve the speed and quality of financial analysis. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Media Relations, Safety Communications
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes media relations, employee communications, community building, events, and other external-facing functions. This team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for an experienced communications professional to help share how OpenAI builds and deploys technology responsibly in the real world. This person will play a key role in communicating about our safety work: how we prepare, respond thoughtfully when issues arise, and continue earning people’s trust as our systems become more capable. This person will partner across teams to shape clear, confident narratives that show our commitment to transparency and continuous improvement. This role is ideal for someone who thrives in dynamic environments, enjoys translating complex ideas into relatable stories, and sees opportunity in helping people understand how safety and innovation work together. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation support. In this role, you will: - Develop communications strategies that highlight our proactive real-world safety practices and reinforce public confidence in how we approach responsible AI - Craft thoughtful, timely responses when questions or issues emerge, helping audiences understand what we’re doing and why - Prepare materials including statements, FAQs, and backgrounders that make complex information clear and credible - Partner closely with cross-functional teams to anticipate emerging topics and build readiness plans - Build and strengthen relationships with journalists covering AI safety, technology, and policy - Provide calm, trusted counsel to leaders and teammates on sensitive or fast-moving narratives - Help establish clear processes for monitoring external narratives and responding with empathy, accuracy, and care You might thrive in this role if you: - 10+ years of professional PR and media relations experience; corporate and/or crisis communications experience is preferred, in-house experience is a plus. - Experience with AI technologies or a strong personal interest in AI. - Exceptional ability to translate complex technical information into clear, persuasive external-facing content. - Proven success in building relationships and collaborating with press, executives, partners, and other stakeholders. - You’re energized by translating technical work into stories that people understand and care about - You bring clear thinking, good judgment, and calm focus to high-profile projects - You value precision and accountability, but can also think creatively about framing and narrative - You want to be part of a team helping to shape how the world understands safe and responsible AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of First Party Chip Finance
About the Role As Head of First Party Chip Finance, you will be the finance leader for OpenAI’s custom silicon efforts. You will partner with teams across chip design, engineering, infrastructure, supply chain, and finance to turn technical roadmaps into sound investment decisions and financially disciplined execution. This role spans the full chip development lifecycle: evaluating design and roadmap choices, building investment cases, forecasting development and production costs, and supporting manufacturing and deployment at scale. You will give leadership a clear view of program economics, funding requirements, and risks as we build first-party compute capabilities. In this role, you will: - Lead financial evaluation of custom silicon programs, including development investment, production economics, deployment assumptions, and expected returns. Assess first-party chips against alternative compute options. - Build and own program-level models and multiyear forecasts that connect engineering milestones, development spending, manufacturing volumes, supplier commitments, and cash requirements. - Partner closely with chip-design and engineering leaders on technical decisions that affect performance, power consumption, cost, and time to deployment. Translate complex design tradeoffs into clear financial recommendations. - Develop a detailed view of chip and system costs, including wafers, manufacturing yields, packaging, memory, testing, and integration. Identify opportunities to improve economics as programs move from development into production. - Partner with Supply Chain and Procurement on supplier strategy and commercial negotiations, including capacity reservations, volume commitments, prepayments, and contractual risk. - Work with Treasury, Corporate Finance, Accounting, Tax, and Legal to evaluate financing and payment structures, manage financial exposure, and support program execution. - Support commercial deployment and pricing decisions through analysis of unit economics, total cost of ownership, and the relationship between technical performance and economic value. - Establish budgets, reporting, and financial controls that give engineering and finance leaders timely visibility into spending, commitments, milestones, and emerging risks. Build a small, high-performing team while remaining directly involved in the analysis. You might thrive in this role if you have: - Prior experience leading finance for semiconductor or custom silicon programs. You have directly owned investment analysis, program budgets, and financial decisions across chip development and production. - An undergraduate degree in a technical discipline, preferably electrical engineering or computer science. An MBA or equivalent business experience complements your technical foundation. - 10+ years of experience across semiconductor finance, hardware finance, strategic finance, or related fields, with substantial responsibility for complex technical programs. - Strong command of semiconductor economics, including development costs, manufacturing yields, packaging and memory costs, production ramps, and supplier commitments. - Excellent financial modeling skills and the ability to independently build models, test technical and commercial assumptions, quantify uncertainty, and recommend a path forward. - The technical credibility to work closely with chip designers and engineering leaders, understand their constraints, and evaluate tradeoffs across performance, power, cost, and timing. - Experience supporting supplier negotiations, prepayments, and major investment commitments in partnership with supply chain and finance teams. - A hands-on operating style, clear communication, and the judgment to introduce financial discipline while helping technical teams move quickly. You use technology and AI to improve analysis and decision-making. - A strong track record of hiring, leading, and developing high-performing teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Creative Lead, Japan
About the Team We bring OpenAI’s brand to life around the world. As a multidisciplinary creative team, we design work that connects meaningfully with local cultures, from flagship global campaigns and international events to deeply localized moments. In close collaboration with the U.S. Creative Studio, as well as global and regional marketing teams, agencies, and creators, we ensure OpenAI’s brand principles are honored, protected, and expressed responsibly everywhere people meet our products. About the Role As the Japan Creative Lead , you will lead the creative vision and execution of OpenAI’s brand in Japan. You will define how global ideas are translated, adapted, and evolved for Japan, while developing original ideas rooted in Japanese culture. You will shape creative direction, elevate craft, and ensure local relevance while protecting global brand integrity. As part of the International Creative Studio, you’ll collaborate closely with creative colleagues across OpenAI and cross-functional partners in Japan. Together with the Japan Marketing Lead, you will select and co-lead agencies in Japan, while guiding creators and production partners to deliver bold, distinctive, and world-class work that connects with local audiences. You will play a key role in shaping and evolving OpenAI’s visual identity and creative frameworks for Japan, ensuring they resonate with local audiences while remaining true to our global brand vision and principles. We’re looking for a creative leader who is conceptually strong, visually sophisticated, culturally fluent in Japan, and deeply collaborative. You can set a high bar, bring others along with clarity and inspiration, and move confidently between creative direction and hands-on work. This role is based in Tokyo, Japan. In this role, you will: - Lead creative direction for brand campaigns, marketing, digital, content, experiential, events, and partnerships in Japan, across consumer and B2B audiences - Translate global brand strategy and creative vision into culturally resonant work for Japanese audiences, developing locally originated ideas alongside global campaign adaptations - Set and maintain a high bar for concept, craft, and storytelling across all creative outputs, with close attention to Japanese language, typography, and visual expression - Partner closely with the International and U.S. Creative Studio, Japan Marketing, and cross-functional partners to align on creative direction, systems, and brand standards - Guide and mentor designers, art directors, and creative partners working on Japan, providing clear direction, feedback, and inspiration - Collaborate with Japan Marketing to turn audience insights and product capabilities into clear, locally relevant ideas and stories - Shape and evolve OpenAI’s visual systems and creative frameworks for Japan while maintaining a consistent global brand - Select and co-lead agencies in Japan together with the Japan Marketing Lead, aligning on agency partners, briefs and creative direction - Interpret strategy and briefs, identifying the core creative tension and turning it into distinctive ideas that resonate in Japan - Act as a trusted creative partner to cross-functional stakeholders in Japan, balancing ambition, cultural nuance, and brand responsibility You might thrive in this role if you: - Have a strong, distinctive portfolio demonstrating creative leadership, conceptual clarity, and exceptional craft across multiple mediums - Bring experience leading brand work in Japan, with a portfolio that demonstrates local cultural relevance and strong global brand stewardship - Have experience working within a global brand organization, bridging global creative leadership and local marketing teams. - Can interpret global creative direction through a local cultural lens, articulate nuanced consumer insights and creative preferences that may be lost in translation, and constructively navigate differing perspectives to deliver work that resonates locally while maintaining global brand consistency. - Have deep cultural fluency in Japan and a strong understanding of local audiences, language, visual culture, storytelling, and creative communities - Are equally comfortable setting creative vision and getting hands-on when needed - Have a refined design eye and a strong, well-articulated point of view - Enjoy collaborating across languages, cultures, and time zones in complex, fast-moving environments - Are an empathetic leader who elevates teams through clarity, trust, and constructive feedback - Balance creativity with strategic rigor and strong brand stewardship - Are excited by the role of creativity in shaping how transformative technology shows up in people’s lives in Japan - Have strong cross-functional collaboration skills About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
B2B Ecosystem Lead, Partner Growth
About the Team We are a small and fast-moving B2B partnerships team that shapes and executes OpenAI’s most important collaborations. We work across the B2B ecosystem, including software vendors, technology platforms, and services partners, to help them bring useful AI offerings to market and reach more business customers. Working closely with Sales, Product, and partner programs, we build channels and repeatable go-to-market approaches that expand customer choice and adoption of OpenAI’s models and products. About the Role As a B2B Ecosystem Partnerships Lead focused on Partner Growth, you will own the onboarding, activation, and growth of a partner portfolio across OpenAI’s expanding ecosystem programs, including marketplace and Sign in with ChatGPT. This is a hands-on individual contributor role centered on partner management, joint go-to-market execution, and commercial growth. Your portfolio may span ISVs, technology platforms,, and other B2B partners as opportunities evolve. You bring a generalist’s range across relationships, business analysis, deal execution, and operational problem solving. You will build repeatable ways to support a growing partner base and take on selected strategic partnerships. In this role, you will: - Identify and recruit partners across B2B segments for ecosystem programs and joint go-to-market opportunities, prioritizing customer needs, product fit, commercial potential, and readiness to participate and grow. - Own day-to-day relationships across your partner portfolio, tailoring engagement to partner needs and opportunity while using repeatable approaches to support a growing partner base. - Develop practical business and account plans with partners and Sales, with clear use cases, target customers, owners, milestones, and adoption and commercial goals. - Negotiate product and commercial agreements with Legal, Finance, and Product, and lead selected high-touch strategic opportunities in coordination with other partnership owners. - Guide partners through program onboarding, technical evaluation, integration, and activation; coordinate enablement and resolve barriers to launch, sustained usage, and expansion. - Execute co-selling, joint marketing, and marketplace opportunities with account teams; coordinate with cloud and other ecosystem partners where they help customers buy and deploy solutions. - Run regular partner reviews, identify inactive or stalled partners, and execute growth plans that improve participation, product adoption, customer demand, and relationship health. - Track onboarding completion, time to activation, active partners, product usage, pipeline contribution, and commercial results with Sales and Operations; use the data to focus effort. - Improve onboarding materials, enablement, and partner engagement practices with program and product teams; turn recurring partner issues into fixes that help the broader ecosystem scale. You might thrive in this role if you have: - 8+ years of experience in partnerships, business development, partner or account management, enterprise sales, or related commercial roles in technology. - Experience managing and growing a portfolio of B2B partners or accounts, with measurable results in onboarding, adoption, retention, or commercial expansion. - An understanding of B2B business models, partner channels, and how companies bring products and services to market. Experience with ISVs, technology platforms, services partners, or cloud marketplaces is a plus. - Strong business judgment and analytical skills: you can assess partner economics, prioritize a portfolio, and build repeatable processes that help more partners succeed. - Ability to work across Product, Engineering, Sales, Marketing, Legal, and Finance, build trust with partner teams, and drive progress without formal authority. - A generalist mindset, curiosity about AI, and the ability to learn new products and markets quickly. You can discuss integrations with technical teams and connect capabilities to customer value. - Clear communication, sound negotiation skills, and reliable follow-through. You are comfortable balancing relationship building, structured planning, and hands-on problem solving in a changing environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Systems & Enablement Lead, Recruiting Operations
About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: - Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. - Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. - Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. - Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. - Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workflow usability and reliability. - Using data and operational signals to monitor service health, prioritize improvements, and reduce repeat work. - Evaluating practical AI and automation opportunities that improve support quality, speed, and consistency without weakening controls. You might thrive in this role if you have: 5+ years of experience in recruiting operations, HR systems, people technology, or related roles. Hands-on experience administering an ATS (Ashby strongly preferred). Strong understanding of recruiting workflows, offers, and hiring data. Ability to balance detailed systems work with user support and enablement. Strong communication and stakeholder partnership skills. Comfort working in fast-moving, evolving environments. Highly detail-oriented, with strong operational discipline and a commitment to accuracy and consistency. Nice to Have: Experience supporting global or multi-entity hiring. Familiarity with compliance-sensitive or highly regulated workflows. Experience creating training and documentation for operational teams. Experience working with analytics or downstream HR systems. Workplace & Location This role is based in our San Francisco office and we aren’t considering remote applications at this time. We offer relocation support to new employees, and we use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Marketing, Messaging Lead
About the Team OpenAI’s B2B Marketing team helps businesses understand, adopt, and get value from our products. We work closely with Product, Research, Sales, and Communications to connect advances in AI to the problems organizations are trying to solve. About the Role We’re looking for a Messaging Lead to shape how businesses understand OpenAI and the value of our portfolio. You’ll develop a clear enterprise narrative, connect individual product stories to it, and help explain how AI is changing the way people and organizations work. You’ll work directly with senior leaders and technical teams to make difficult positioning decisions and turn them into work that customers, executives, and the field can use. You’ll be a hands-on writer and editor as well as a strategic partner, responsible for the quality and coherence of our most important business stories. This is a senior individual contributor role, with the potential to build and lead a team as the function grows. In this role, you will: - Define and evolve the enterprise narrative and the messages that connect our products to customer needs and business outcomes. - Partner with product and industry marketers to make the portfolio clear and differentiated while preserving the depth each audience needs. - Translate complex capabilities into precise, compelling stories with Product and Research. - Personally develop core enterprise pitches, executive narratives, major launch messages, and other high-priority materials. - Bring customer insight, competitive context, and credible proof into the story with GTM and Customer Marketing. - Help Marketing, Communications, and Enablement apply the narrative, and improve it through customer feedback and testing. - Coach partners on messaging and writing, and help define how the function should grow. You might thrive in this role if you have: - 14+ years of experience in B2B product marketing, positioning, or messaging, with a track record of shaping enterprise narratives and translating complex technology portfolios into clear, differentiated stories for business audiences. - A track record of leading messaging, positioning, or product marketing for complex technology portfolios serving business customers. - Exceptional writing and editing skills, with examples of work you personally created and an ability to explain the decisions behind it. - Strong product and technical judgment, including the ability to distinguish a supported claim from an appealing assertion. - Experience working with senior executives and technical leaders, resolving conflicting views, and leading without formal authority. - Evidence that your narratives were adopted by customer-facing teams and improved customer understanding or evaluation. - The willingness to work hands-on, move through ambiguity, and revise your view when evidence changes. - Practical fluency with AI tools and thoughtful judgment about where human review matters. - Experience developing marketers or building a messaging function is valuable. Previous people-management experience is not required for the initial IC role. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Content Studio Lead
About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. This team is for people who are energized by ambiguity, intellectually curious, and excited to build something enduring from the beginning. About the Role As Content Studio Creative Lead, you will build and lead a centralized content studio that serves the broader creative team. You will be both a senior maker and a capability builder: creating timely, high-quality content while shaping the studio’s creative approach, talent network, and quality standards, in partnership with Production on the processes that support the work at scale. We’re looking for someone who can move fluidly between hands-on content creation and creative systems thinking. You will work closely with leaders, researchers, creative teams, and external partners to capture stories at the source and turn them into compelling work for web, social, and the broader OpenAI brand. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel for production may be required. In this role, you will: - Define the content studio’s creative vision, creative strategy, and measures of quality and effectiveness, and partner with Production on production workflows. - Identify the right creative talent and partners across internal teams, freelancers, and agencies, working with Production to build the team and production approach around each project. - Create reusable formats, playbooks, and standards that help teams produce strong work quickly across web, social, editorial, and brand channels. - Partner with creative leads to prioritize requests and set the creative ambition and craft needs for each opportunity. Work with Production to make shared decisions on scope, budget, tradeoffs, and how to bring the work to life. You might thrive in this role if you: - Have 10+ years of building or significantly scaling a content, production, editorial, or studio capability. - Are an accomplished content maker with strong editorial judgment and a portfolio spanning multiple formats and channels. - Can personally develop and create high-priority content with leaders, researchers, customers, and external partners, from concept through delivery. - Can creatively lead work from concept through delivery while partnering with Production and remaining hands-on when the work demands it. - Build trust quickly with senior leaders, technical experts, creative collaborators, and external talent. - Bring operational rigor, resourcefulness, and calm decision-making to fast-moving production environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Center Design Manager
About the Team OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments. We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed. About the Role We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments. You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements. Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions. Key Responsibilities - Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support. - Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses. - Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements. - Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release. - Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear. - Coordinate external architects, engineering consultants, developers, and equipment suppliers to maintain design quality and meet agreed deliverables. - Partner with construction and commissioning teams on constructability, sequencing, RFIs, submittals, field issues, and design changes. - Maintain design documentation and handoff requirements, and incorporate field and operational lessons into reusable standards and reference designs. Qualifications - Bachelor's degree in engineering, architecture, or a related discipline, or equivalent practical experience. - Experience managing multidisciplinary design for data centers, mission-critical facilities, or comparable complex infrastructure. - Technical understanding of data center infrastructure and the interfaces among power, cooling, controls, structures, and physical networks. - Experience taking coordinated design packages from early planning through detailed design and construction support. - Experience coordinating external design consultants, engineering specialists, and construction partners. - Ability to read technical drawings and specifications, identify interface gaps, and work with discipline experts to resolve them. - Strong written and verbal communication, disciplined issue tracking, and sound judgment when balancing technical requirements with delivery constraints. Preferred Skills - Experience with hyperscale data centers, high-density AI or HPC infrastructure, or other rapidly evolving mission-critical environments. - Familiarity with liquid cooling, high-density power distribution, and the integration of changing compute hardware requirements into facility designs. - Experience managing design reviews, quality checks, and technical change control across concurrent projects. - Experience with modular or prefabricated infrastructure and design approaches that improve constructability and deployment speed. - Familiarity with BIM, model coordination, clash detection, and engineering document-control tools. - Experience supporting commissioning readiness, as-built documentation, and handoff to operations. - Experience adapting reference designs and engineering standards to site-specific constraints across a portfolio. - Professional engineering or architecture licensure, or relevant design and project management credentials. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
GTM Enablement - Product
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring our first Product Enablement specialist. You will join the Product & Technical Enablement team and help our go-to-market teams get ready for every product launch, across Agents, APIs, and Creative. You will support our global go-to-market teams. Your mission: help sellers understand, demo, and sell each new launch with confidence, with preparation that starts well before launch day. What sets this role apart: we’re looking for someone who knows our products well enough to demo them and sell them. You have used agents, APIs, or creative tools hands-on, and you can explain how they work and why they matter to customers. You blend that with sales, solutions engineering, or product marketing experience, so you can teach sellers how to use a product, how to demo it, and how to pitch it. This role sits within GTM Enablement and reports to the Product & Technical Enablement Lead. You will work in close partnership with: - Product marketing and engineering teams (keeping content accurate as the platform ships) - GTM enablement (aligning on shared onboarding infrastructure) You will support product enablement for our go-to-market teams across Agents, APIs, and Creative, with the most day-to-day focus on API and Creative launches. This is a full-stack role on a lean team: you’ll build content, deliver training, design practice environments, and flex across products as needed. What you’ll do - Support new product launches: get an early heads-up from product marketing, research, and engineering, follow releases from alpha through GA, and have training ready before launch day, not the week of - Build launch workshops: go beyond what shipped and why it matters, with hands-on workshops on how to use the product, how to demo it, and how to pitch the value - Support competitive enablement: turn product marketing battlecards into trainings, simulations, and demo workshops, so sellers can answer parity, differentiation, and value questions with confidence - Support product certification: help define what “product certified” means for GTM teams, and build the playbooks and training content that raise product confidence across the whole field, not only new hires - Support everboarding and onboarding: keep training tied to new releases and capabilities, and keep content current as products ship - Craft realistic practice environments: demo certifications, role-play scenarios, and customer simulations with scored feedback, built on our own agent technology - Operate AI-natively: use ElevenLabs’ own voice and agent technology to build training and practice environments; default to AI tools to build faster, and teach others to do the same - Measure what matters: define and track the percent of sellers certified within 2 weeks of GA, demo and pitch quality scores, and win rate and stage progression against named competitors, and use the data to improve each launch Requirements We’re looking for someone who knows our products well and can teach sellers to demo and sell them. You’ll thrive here if you: - Have 4-7+ years as an enterprise seller or solutions engineer, or as a seller who moved into product marketing or enablement, at a SaaS, platform, or API-first company - Are hands-on with agents, APIs, or creative tools, and understand at a conceptual level how they work - Have demoed and pitched technical products to customers, and can explain the value, not only the features - Have a track record of teaching, mentoring, or building training, in addition to your customer-facing work - Are comfortable building a program from scratch, with no playbook to inherit - Have credibility with sellers, built from time in the seat or supporting sellers directly, and work well with product marketing, research, and engineering teams - Communicate clearly and can adapt product material for different audiences without diluting it Bonus - Experience at a high-growth AI/ML, developer tools, or API-first company - Background in voice AI, conversational AI, or contact center technology - Vertical depth in financial services, healthcare, telecom or CCaaS, or at other AI companies - Hands-on experience with competing voice and agent platforms - Experience running workshops or labs for sellers or customers - Experience building role-play, simulation, or demo practice environments Location Remote-first, globally distributed role. Expect occasional travel to team hubs and onboarding sessions. Candidates should be able to work effectively across US and European time zones. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Research Engineer, Sandboxes
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. What You Will Do - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. What We're Looking For - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. Nice-to-haves - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Research Engineer - Search and Services
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are seeking a talented and experienced Research Engineer to join our newly forming Search and Services Platform team within Research Platform. You will build and operate the large-scale search and services that our models rely on as tools — from self-hosted, web-scale, search indexes to knowledge graphs and databases served through MCP. You will work closely with researchers and with the pretraining data, sandbox and data platform teams to make these services reliable, scalable and fast, on infrastructure measured in hundreds of terabytes of NVMe storage and thousands of CPU cores to support both data generation and critical training runs. What you will do As a Research Engineer on the Search and Services team, your responsibilities will include (but may not be limited to): - Designing, building and operating large-scale search infrastructure: self-hosted Vespa clusters indexing web-scale corpora, managed indexes for smaller corpora, and vendor search endpoints. - Self-hosting and maintaining a wide range of structured data sources — knowledge graphs (Wikidata, UniProt, Materials Project), scholarly data (OpenAlex, OpenAIRE), statistical databases (Eurostat, World Bank, IMF, OECD), open data portals and more. - Designing interfaces and tools to expose to the models and agents to use the services in different ways (direct YQL or SPARQL queries, or more refined and constrained MCPs to mimic external services) to support data generation and agentic training. - Building the data pipelines that ingest, index and serve massive datasets, including indexing our own pretraining corpora for exploration, deduplication and eval-leakage checks. - Building strong relationships with researchers and adjacent teams (pretraining data,, sandbox, data platform), understanding their workflows and enabling them to achieve more by leveraging your expertise. - Communicating and producing documentation or any content that will help teams make the most of the services you'll build. About you - 5+ years of successful experience in search engineering, data infrastructure, or a similar SRE / platform role. - Proficiency in software development (Python, Go...) and programming best practices. - Hands-on experience with large-scale search or data systems (e.g. Vespa, Elasticsearch / OpenSearch, ClickHouse or similar). - Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) - Exposure to infrastructure management: containerization, orchestration (Kubernetes), infra-as-code, monitoring, logging, alerting, observability...). - Experience designing and operating data pipelines that address large amounts of data. - Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). - Ownership, high agency and constantly seeking to learn and improving things for others. - Autonomous, self-driven and able to work well in a fast-paced startup environment. - Low ego and team spirit mindset. - Your application will be all the more interesting if you also have: - First-hand Vespa (or equivalent large-scale information retrieval) experience. - Experience building or operating MCP servers / tool-serving infrastructure for LLMs. - Familiarity with knowledge graphs, RDF / SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). - Experience with large bare-metal infrastructure or HPC environments. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Product Designer, Higher Education
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Education team is focused on making AI safe, useful, and empowering for students, faculty, and institutions. Our work spans core learning experiences, course-based tools, and campus-wide product solutions. We’re also exploring how OpenAI’s technology can support colleges and universities, educators, teaching and research, and collaborative learning. About the Role We’re looking for a staff-level product designer to shape how students and educators engage with AI and help define OpenAI’s emerging higher education experiences. You’ll work across immediate product needs and ambitious zero-to-one opportunities, from core learning and course experiences to campus-wide tools for teaching, research, and collaboration. A high craft bar is imperative. You’ll be expected to pair exceptional interaction and visual design with deep product thinking—turning complex questions around safety, learning, and institutional needs into experiences that feel clear, trustworthy, and engaging. This is a highly generative role for someone who can move from early exploration to concrete, high-fidelity product direction. You’ll partner closely with product, engineering, research, safety, policy, and design to establish durable patterns for a space that is still being defined. In this role, you will: - Establish an exceptionally high standard for craft across OpenAI’s higher education experiences. - Lead end-to-end design for products that help students, faculty, and campus staff use AI safely, confidently, and productively. - Design clear, trustworthy experiences for learning, course participation, and campus-wide use, including sensitive or high-trust interactions. - Shape zero-to-one higher education experiences spanning colleges and universities, educators, courses, collaborative work, and builder-style workflows. - Turn emerging ideas into compelling concepts, prototypes, and high-fidelity product experiences that teams can evaluate and build. - Partner with research, engineering, product, safety, policy, and design to balance user needs, technical capabilities, and responsible deployment. - Conduct and apply research with relevant users and partners to understand the needs of students, faculty, campus staff, and institutions. - Develop reusable patterns and principles that create coherence across core learning, course, and campus-wide products as the area grows. You might thrive in this role if you: - Bring exceptional interaction and visual design craft and are motivated to raise the quality of design across OpenAI. - Are a highly generative designer who explores broadly, iterates deeply, and turns ideas into concrete, polished product direction. - Pair strong craft with deep product and systems thinking. - Have led substantial, ambiguous, or zero-to-one product areas and can help shape both vision and execution. - Can design thoughtful experiences for sensitive, high-trust, or safety-critical contexts. - Understand how to create products that are engaging and intuitive without compromising safety or clarity. - Can navigate the needs of multiple audiences, including students, faculty, campus staff, administrators, and institutional partners. - Communicate clearly, build alignment across disciplines, and remain hands-on throughout the product-development process. - Are energized by the opportunity to define how AI can support learning while serving higher education communities responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Financial Systems Engineer
About the Role As a Financial Systems Engineer, you will design, build, and operate the financial systems and integrations that support critical accounting processes across Oracle Fusion Cloud and OpenAI’s broader finance technology ecosystem. You’ll partner with Corporate Accounting, Accounts Payable, Revenue Accounting, Supply Chain, Engineering, Data, Tax, and other cross-functional teams to deliver reliable, scalable, and auditable solutions. This role requires deep Oracle Financials expertise, strong accounting process knowledge, and an engineering mindset. You will work across corporate accounting processes including equity, payroll, accruals, leases, mergers and acquisitions, intercompany, and close; transform Accounts Payable processes; and design solutions for complex supply chain accounting, cost accounting, ASC 606 revenue recognition, and compute and data-center accounting. You’ll help redefine how finance teams work by applying automation, AI, and agentic approaches to reduce manual effort, strengthen controls, and accelerate accounting and close processes. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the solution design, delivery, and continuous improvement of Oracle Fusion Financials and connected finance platforms, acting as both a hands-on engineer and a trusted functional partner. - Partner with Corporate Accounting to improve processes for equity, payroll, expense accruals, lease accounting, mergers and acquisitions, reconciliations, and the month-end and quarter-end close. - Work with Accounts Payable to deliver transformation initiatives across invoice intake, validation, matching, approvals, accounting, payments, supplier experience, exception management, and operational reporting. - Design accounting solutions for complex supply chain initiatives across procurement, receiving, inventory, Supply Chain Financial Orchestration, costing, intercompany flows, logistics, and the lifecycle from acquisition through sale. - Apply strong cost-accounting knowledge to standard cost, landed cost, purchase price variance, inventory valuation, manufacturing and logistics costs, cost of goods sold, and related financial controls. - Partner with Compute and Infrastructure Accounting to design systems solutions for data-center and compute operations, including asset capitalization, construction-in-progress, placed-in-service, depreciation, lease accounting, reconciliations, and close. - Partner with Revenue Accounting, Supply Chain, and Engineering to architect scalable Oracle-integrated solutions for hardware and other complex or nonstandard revenue arrangements under ASC 606, translating contract terms and operational events into accounting rules, data flows, controls, reconciliations, and a timely revenue close. - Translate complex accounting requirements and operational events into system architecture, accounting rules, data models, controls, test scenarios, and integrations with Oracle. - Architect integrations between Oracle and upstream or downstream product, revenue, payroll, treasury, data, and operational systems using REST APIs, events, middleware, and governed data pipelines. - Design and implement Oracle Financial Accounting Hub solutions from scratch for multiple upstream subledger applications, including event models, accounting rules, mappings, integrations, controls, reconciliations, and end-to-end traceability. - Resolve complex intercompany accounting issues involving foreign exchange, balancing, reconciliations, netting, settlement, and multi-entity operations. - Build AI-enabled and agentic finance solutions—including assistants, model context protocols, automated workflows, dynamic dashboards, and conversational access to enterprise data—to reduce manual work and improve decision-making. - Create monitoring, exception handling, reconciliation, regression-testing, and control frameworks so automated processes remain reliable, auditable, and supportable during close. - Triage critical production issues, lead root-cause analysis, and deliver permanent fixes that improve both system design and finance operations. You might thrive in this role if you have: - 10+ years of experience in financial systems engineering, ERP, accounting technology, or solution architecture roles, with demonstrated ownership of complex finance transformation initiatives. - 8+ years of hands-on experience with Oracle Fusion Financials and experience with several of the following: General Ledger, Payables, Fixed Assets, Lease Accounting, Intercompany, Cash Management, Cost Accounting, and Financial Accounting Hub. - Experience delivering at least two full-cycle Oracle Fusion implementations or comparably complex enterprise finance programs. - Strong knowledge of corporate accounting processes, including equity, payroll, expense accruals, lease accounting, mergers and acquisitions, reconciliations, and financial close. - Hands-on experience transforming Accounts Payable processes and integrating procurement, invoicing, tax, payments, suppliers, and reporting capabilities. - Deep understanding of supply chain accounting, Supply Chain Financial Orchestration, inventory and cost accounting, standard and landed costs, purchase price variance, logistics costs, and cost of goods sold. - Strong knowledge of ASC 606 and experience designing Oracle-integrated accounting solutions for hardware, supply chain, and other complex or nonstandard revenue arrangements in partnership with Revenue Accounting and Engineering teams. - Experience implementing Oracle Financial Accounting Hub from initial design through production for multiple upstream subledger applications, including accounting rules, integrations, controls, and reconciliations. - Experience Working with enterprise integrations teams using Oracle Integration Cloud, or similar middleware, Oracle Fusion APIs, event-driven patterns, Python, SQL, and modern data platforms. - Demonstrated interest and experience in applying AI, agents, automation, and nontraditional engineering approaches to finance operations and close processes. - Experience supporting compute infrastructure or data-center accounting—including asset capitalization, construction-in-progress, placed-in-service, depreciation, and lease accounting—is a strong advantage. - Experience resolving global intercompany challenges involving foreign exchange, multi-entity balancing, netting, settlement, and reconciliations. - A strong controls and compliance mindset, with the judgment to improve automation and user experience without compromising auditability or data integrity. - Exceptional communication skills and the ability to translate between Accounting, Finance, Engineering, Data, and business stakeholders. - A bias for action paired with systems thinking—you can solve urgent operational problems while designing scalable foundations for future growth. - Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related field (or equivalent experience). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Tabletop Exercise Lead, The Anthropic Institute
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet. Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet. Key responsibilities - Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each - Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes - Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports - Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose - Hire, manage and develop a team and a bench of facilitators - Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely - Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard - Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play Minimum qualifications - Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject - Have training in a discipline that uses simulation, experimental methods or structured analysis - Have 10+ years of experience in national security, government, technology policy, or strategy - Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research - Have managed a team, including hiring, setting direction, giving feedback and developing people - Use Claude and other AI tools extensively in your own work - Care about AI safety and Anthropic's public benefit mission Preferred qualifications - Published research on wargaming methods, simulation or crisis decision-making - Run exercises that fed into real policy or crisis-response decisions - Run multi-iteration or experimental wargames and analyzed results across runs - Used AI agents or language models as players, adjudicators or analysts in simulations - Led a research program or team through a period of growth - Existing relationships across national security, government, policy and AI, and are trusted in those communities - Published widely read work on AI, emerging technology, strategy or crisis decision-making We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People Specialist, Performance Management
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a People Specialist to join our International People Team with a particular focus on supporting performance management related activities throughout the EMEA (UK, Ireland, Germany, France, Spain, Switzerland and Italy) and APAC (Japan, India, South Korea, Australia and New Zealand) regions. You'll support People Partners and cross functional teams on the work that helps our managers do their jobs well: performance cases, org changes, developing manager resources, and the operational processes underneath all of it. Some weeks you'll be deep in a sensitive performance case coaching a manager. Other weeks you're cleaning up a process, rebuilding a tracker, or helping prep a leader for a hard conversation. We need someone who takes both kinds of work seriously and holds the same quality bar for each. A lot of the work is sensitive. You'll be close to performance management, org restructures, and situations that touch ER or Employment Legal. An understanding of the nuances which exist in relation to performance management and employee relations in different legal and cultural contexts will be critical. Good judgment about what to share, with whom, and in what form is paramount. Responsibilities - Manage performance casework regionally: building documentation, tracking timelines, prepping talking points, and keeping details from falling through the cracks while owning the process end to end. - Own and improve operational processes that managers and People Partners depend on, including outside business activity requests and reorg processing - Build, maintain, and improve manager resources and documentation so they're useful and current - Partner with Leadership Design on manager enablement programs like the performance cycle: logistics, content, delivery, and the unglamorous operational work that makes programs run - Help pull and compile reports and data for sensitive personnel matters - Maintain tracking systems for casework and manager enablement initiatives; make them better than you found them Minimum Qualifications - You have experience working on performance management or employee relations across Europe and ideally APAC - You've supported complex or sensitive casework before and can work with partial information, messy handoffs, and tight timelines - You're detail-oriented: you catch things, close loops, and remember where to find crucial information - Ability to operationalise and scale your work, ensuring that you are able to build over time processes, frameworks and supporting documentation to help us scale - Strong written communication. You'll be drafting things leaders use in hard conversations, and you're not precious when they get edited (you used Claude as a guide but not as a final editor) - Good judgment on need-to-know. You think about what to share, with whom, and what goes in writing versus what stays verbal - You'll push back when something's off. You have a point of view and you're comfortable raising concerns with people more senior than you - Comfortable with range. You don't check out on the tedious work or treat it as beneath you - Ability to operate in the grey - this is a fast-paced organisation, where we are building as we scale fast; not everything will be clear-cut and you should be able to operate in this environment with confidence Preferred Qualifications - 7+ years in an HR- role: people operations, HR coordination, employee relations, HRBP, or something similar - Experience at a high-growth tech company where process was being built while you used it - Direct experience supporting HRBPs, Managers and Employees through challenging and sensitive matters. - Working knowledge of HR compliance requirements in Europe and APAC - Interest in AI safety - Claude power user in your current role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £175,000 - £220,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Account Executive
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion. You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan. The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment. Responsibilities: - Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales - Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments - Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus You may be a good fit if you have: - 10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies - 3+ years of sales leadership experience within the Enterprise segment - Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations - Strong technical acumen with ability to enable credible AI conversations - Track record of successful partnership with technical teams throughout the customer journey - Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries - Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives - Experience managing complex enterprise sales cycles and helping AEs secure strategic deals - Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives - Strategic approach to market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible development - Business-level Japanese required; English proficiency strongly preferred Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Sales Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top financial institutions. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help financial institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications - Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives within the Industries sector - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within financial departments, research centers, and administrative offices - Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries - Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: - 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies - 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries - Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries - Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with financial stakeholders - Track record of successful partnership with technical teams throughout the customer journey within financial institutions - Deep understanding of Industries buying cycles, procurement frameworks, and key pain points - Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives - Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals - Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles - Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries - Strategic approach to financial market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible development for financial use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £330,000 - £380,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Community Engagement Manager, Data Centers (Montan...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Montana and Utah to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Montana and Utah, up to 50% of the time, often over long distances, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with county commissioners, mayors and city and town councils, planning and zoning bodies, state economic development agencies (such as Montana's Department of Commerce and Utah's Governor's Office of Economic Opportunity), community groups, civic leaders, educational institutions, and workforce partners in the Montana and Utah data center markets you cover - Engage respectfully and meaningfully with Tribal governments and Native communities in Montana and Utah, recognizing Tribal sovereignty, building sustained relationships, and supporting consultation and partnership efforts related to our projects - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including water availability and water rights in a dry climate and how rural electric cooperatives and utilities would serve large electricity needs - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Montana or Utah or willing to relocate to one of them, and prepared to travel regularly, including long drives, across both states Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the county and municipal level in Montana and/or Utah, and with water rights and water use questions in the Mountain West - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - Experience working with Tribal governments and Native communities in Montana or Utah, including familiarity with consultation processes, Tribal sovereignty and treaty considerations, or community benefit and partnership agreements - A genuine interest in the communities where you work, not just the projects you are managing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.